Pedro Sousa

Pedro Sousa is a Researcher at Universidade Lusófona, focusing on the intersection of machine learning and spectroscopy for applications in food science, biotechnology, and biochemical analysis. His work spans rice quality evaluation, contaminant detection, and antimicrobial compound studies.

Research Interests: Sousa's research primarily involves machine learning techniques integrated with infrared spectroscopy to develop rapid screening methods for agricultural and biomedical applications. His projects address challenges in rice quality assessment, mycotoxin detection, and plant-microbe interactions.

Publication Trends: Recent articles highlight his expertise in combining NIR/MIR spectroscopy with machine learning for bioactive compound detection, contaminant screening, and rice quality modeling. His work demonstrates a consistent focus on data-driven optimization of biotechnological processes.